我正在为我的图像处理项目培训SVM分类器。我已经计算了正负样本的特征，并且我给了SVM机器。以下是它的代码 -
from skimage.feature import local_binary_pattern
from sklearn.svm import LinearSVC
from sklearn.linear_model import LogisticRegression
from sklearn.externals import joblib
import argparse as ap
import glob
import os
import numpy as np
from config import *
from sklearn.datasets import load_svmlight_file
if __name__ == "__main__":
# Parse the command line arguments
parser = ap.ArgumentParser()
parser.add_argument('-p', "--posfeat", help="Path to the positive features directory", required=True)
parser.add_argument('-n', "--negfeat", help="Path to the negative features directory", required=True)
parser.add_argument('-c', "--classifier", help="Classifier to be used", default="LIN_SVM")
args = vars(parser.parse_args())
pos_feat_path = args["posfeat"]
neg_feat_path = args["negfeat"]
# Classifiers supported
clf_type = args['classifier']
fds = []
labels = []
# Load the positive features
for feat_path in glob.glob(os.path.join(pos_feat_path,"*.feat")):
fd = joblib.load(feat_path)
fds.append(fd)
labels.append(1)
# Load the negative features
for feat_path in glob.glob(os.path.join(neg_feat_path,"*.feat")):
fd = joblib.load(feat_path)
fds.append(fd)
labels.append(0)
if clf_type is "LIN_SVM":
clf = LinearSVC()
print "Training a Linear SVM Classifier"
print fds
clf.fit(fds, labels)
# If feature directories don't exist, create them
if not os.path.isdir(os.path.split(model_path)[0]):
os.makedirs(os.path.split(model_path)[0])
joblib.dump(clf, model_path)
print "Classifier saved to {}".format(model_path)
实际上问题出在 clf.fit（）上。它接受feature参数作为列方向向量，但在我的情况下 fds 是数组数组。当我打印 fds 的内容时，我得到以下输出 -
[array([ 0.00277933, 0.00070328, 0.00168657, ..., 0.00408768,
0.00297903, 0.00028435]), array([ 6.52768819e-02, 2.63171446e-02, 2.08603860e-02, ...,
1.83740761e-03, 2.47804233e-03, 4.40952106e-18]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 0.00620965, 0.01182592, 0.00999352, ..., 0.00089589,
0.00134092, 0.0026002 ]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 3.64590106e-02, 5.63983750e-02, 6.84983685e-02, ...,
1.39839195e-03, -4.10784429e-20, -2.38254969e-18]), array([ 0.01085514, 0.01018574, 0.02266318, ..., 0.00684619,
0.00036176, 0.00130271]), array([ 2.16485104e-03, 1.50226723e-03, 3.21942375e-03,
2.64656094e-03, 2.37626208e-03, 1.34057657e-04,
2.39091821e-04, 8.97521723e-04, 1.38454609e-04,
1.24197312e-03, 1.60666499e-03, 1.92435265e-03,
3.34864054e-03, 4.85894399e-03, 3.66780053e-03,
1.40191912e-03, 2.38874303e-05, 1.26082007e-03,
6.97647267e-04, 3.96445045e-20, 9.20237544e-04,
9.11937075e-04, 2.84391853e-03, 2.27833476e-03,
8.45884552e-04, 7.49838529e-04, 9.92053442e-04,
3.71845597e-03, 8.97953013e-04, 4.03147212e-03,
3.63879390e-03, 3.47202846e-03, 2.49844107e-03,
3.58805258e-03, 1.81755692e-03, 6.15611050e-04,
3.87421125e-02, 5.28292081e-02, 4.50205552e-02,
1.87053052e-02, 2.38757517e-03, 5.76913479e-04,
1.08746617e-02, 4.45025259e-03, 1.65023747e-02,
4.88377889e-03, 1.37183167e-02, 3.05583432e-02,
1.45078200e-02, 1.54068986e-02, 1.25567916e-02,
3.15812077e-03, 2.03465022e-03, 1.30152773e-02,
1.17611551e-02, 8.41835019e-03, 7.26126040e-03,
7.09438642e-03, 4.13387457e-04, 3.67045146e-03,
3.24655772e-03, 3.62208618e-03, 7.05961786e-03,
5.32413350e-02, 2.94643428e-02, 5.24565899e-03,
9.08009594e-04, 1.17463672e-03, 1.40689894e-03,
2.44819931e-03, 3.55238586e-03, 2.68153796e-03,
1.02494651e-03, 1.74641589e-05, 9.21788648e-04,
5.10051628e-04, 2.89841944e-20, 6.72787925e-04,
6.66719432e-04, 2.07919581e-03, 1.66569613e-03,
6.18428270e-04, 5.48208787e-04, 7.25292704e-04,
1.52719734e-03, 2.52585599e-04, 5.04195253e-04,
5.49185184e-04, 1.97899522e-03, 8.02619830e-04,
1.19393286e-03, 2.24160583e-03, 2.96601637e-03,
2.83244534e-02, 3.86235636e-02, 3.29146383e-02,
1.36754945e-02, 1.74556206e-03, 4.21782859e-04,
7.95049185e-03, 3.25359058e-03, 1.20649266e-02,
3.57054272e-03, 1.00294950e-02, 2.23412797e-02,
1.06067027e-02, 1.12640214e-02, 9.18030115e-03,
2.30890984e-03, 1.48753777e-03, 9.51550118e-03,
3.26482882e-03, 4.71849778e-03, 2.04148875e-02,
5.97050449e-02, 3.04274415e-02, 2.23696435e-02,
-5.65191791e-19, 7.45718312e-04, 2.20736964e-03,
3.89248705e-02, 2.15414533e-02, 3.83511415e-03,
3.91414576e-03, 2.39010537e-02, 1.45339174e-02,
1.18966993e-02, 1.47790204e-02, 4.08729725e-02,
5.43413826e-04, 7.07381440e-03, 2.30874856e-02,
1.15286340e-01, 7.00020973e-02, 1.66219341e-02,
9.65820714e-04, 9.15703260e-03, 7.32836318e-03,
4.97580251e-03, 8.64347941e-03, 6.12213806e-02,
8.66396141e-02, 1.16438218e-02, 3.46289205e-03,
9.99954707e-19, 1.87641186e-03, 4.77370866e-04,
5.48322443e-04, 3.11589718e-20, 7.23269368e-04,
7.16745536e-04, 2.23520456e-03, 1.79067867e-03,
6.64830933e-04, 5.89342657e-04, 7.79713750e-04,
1.64178787e-03, 2.71537910e-04, 5.42026646e-04,
5.90392316e-04, 2.12748560e-03, 8.62842979e-04,
1.28351748e-03, 2.40980073e-03, 3.18856612e-03,
4.44089967e-04, 2.88681852e-04, 3.20667485e-04,
1.63589710e-03, 2.11776424e-03, 1.73073346e-03,
1.89914765e-03, 1.93551321e-03, 2.74125624e-04,
3.83845203e-03, 1.07820403e-02, 2.40176178e-02,
1.14025578e-02, 1.21091971e-02, 9.86912869e-03,
2.48215477e-03, 1.59915251e-03, 1.02294799e-02,
3.50979944e-03, 5.07254185e-03, 2.19466823e-02,
6.41849066e-02, 3.27105104e-02, 2.40481099e-02,
-6.07599950e-19, 8.01671957e-04, 2.37299569e-03,
2.52452640e-03, 1.79646442e-03, 3.03974636e-02,
1.35202488e-01, 2.95568822e-02, 8.82444253e-03,
2.61691132e-03, 1.93112678e-03, 1.00102477e-03,
5.84187914e-04, 7.60458546e-03, 2.48198140e-02,
1.23936645e-01, 7.52545799e-02, 1.78691314e-02,
1.03828935e-03, 9.84411423e-03, 7.87823386e-03,
5.34915299e-03, 9.29202749e-03, 6.58150179e-02,
9.31404632e-02, 1.25174952e-02, 3.72272399e-03,
1.07498453e-18, 2.01720508e-03, 5.13189539e-04,
2.74115205e-03, 2.42065051e-03, 1.83539029e-02,
1.58962250e-02, 3.77837253e-03, 3.56301635e-03,
2.99458196e-03, 1.90410601e-04, 2.39738687e-03,
2.12355483e-03, 3.51218114e-04, 7.01079183e-04,
7.63637297e-04, 2.75177592e-03, 1.11603600e-03,
1.66015342e-03, 3.11693371e-03, 4.12422037e-03,
5.74403923e-04, 3.73392782e-04, 4.14764293e-04,
2.11593546e-03, 2.73920191e-03, 2.23860064e-03,
2.45643437e-03, 2.50347106e-03, 3.54565167e-04,
5.12390092e-04, 4.03022742e-20, 1.13218940e-03,
1.39102995e-03, 2.38894617e-03, 1.89726190e-03,
1.63466741e-03, 1.39621447e-03, 1.07267287e-03,
4.53971653e-03, 6.56103077e-03, 2.83867264e-02,
8.30193538e-02, 4.23090969e-02, 3.11047978e-02,
-7.85894347e-19, 1.03691493e-03, 3.06932858e-03,
3.26532454e-03, 2.32361973e-03, 3.93173087e-02,
1.74876366e-01, 3.82300668e-02, 1.14138908e-02,
3.38481893e-03, 2.49779747e-03, 1.29476592e-03,
3.30566432e-03, 5.81677128e-03, 2.99128816e-02,
5.72199005e-02, 2.42549955e-02, 3.24375413e-03,
3.12173241e-03, 5.57935157e-03, 3.99256425e-04,
6.91881080e-03, 1.20186841e-02, 8.51278057e-02,
1.20471642e-01, 1.61906345e-02, 4.81512175e-03,
1.39042846e-18, 2.60913463e-03, 6.63780103e-04,
3.54551691e-03, 3.13096726e-03, 2.37396802e-02,
2.05608203e-02, 4.88709984e-03, 4.60854944e-03,
3.87331341e-03, 2.46284771e-04, 3.10087712e-03,
2.61093759e-03, 3.94157260e-03, 3.15819144e-03,
7.17143946e-03, 5.68248623e-03, 5.19881250e-03,
1.46679037e-03, 1.75533877e-03, 1.07150775e-03]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,
1.71427415e-17, 1.49141851e-15, 1.13142094e-15]), array([ 0.07582537, 0.01128947, 0.00499143, ..., 0.00259608,
0.00437164, 0.00810198]), array([ 1.24500730e-02, 2.06806908e-02, 1.13564239e-02, ...,
1.38635639e-04, 3.59214729e-18, 6.05617914e-04]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,
8.57137077e-18, -2.35712696e-16, 2.82855236e-16]), array([ 1.00419293e-02, 2.98379938e-02, 1.36988288e-02,
1.53794787e-02, 3.69879149e-03, 1.05807322e-02,
9.57733941e-03, 5.54598873e-03, 7.97046383e-03,
7.60044150e-03, 5.62515915e-03, 7.95557523e-03,
7.46200086e-03, 3.65604344e-03, 5.42450288e-03,
2.20858881e-03, 3.38844348e-03, 5.92794738e-03,
2.61374512e-03, 1.28500588e-03, 4.61032541e-03,
1.02903157e-02, 3.16831046e-02, 1.04887391e-02,
1.02502394e-03, 8.48660153e-04, 1.53897449e-03,
8.85590869e-03, 5.28265061e-03, 6.79200375e-03,
7.82124826e-03, 2.89332908e-03, 9.74789426e-03,
3.87239291e-03, 2.31933686e-03, 1.83105418e-03,
4.22846169e-02, 3.80646963e-02, 8.77437911e-03,
9.38874018e-03, 1.80134080e-02, 1.89301145e-02,
1.53909115e-02, 1.15075978e-03, 3.77233330e-02,
3.63161322e-03, 5.42777212e-03, 1.98190016e-02,
4.88949082e-02, 6.15634774e-02, 1.29291860e-02,
3.65290683e-03, 0.00000000e+00, 1.82853950e-03,
5.45654371e-03, 3.45406414e-03, 9.81383152e-04,
9.81986326e-03, 1.00335739e-02, 1.13913061e-03,
1.64660400e-03, 2.29052869e-03, 3.48408737e-03,
1.05300589e-02, 8.56577546e-03, 2.05927210e-02,
5.07037386e-02, 3.60376382e-02, 2.34924539e-02,
1.16494367e-02, 6.43764584e-03, 1.50920581e-03,
9.63808739e-03, 1.29422709e-02, 4.16020996e-02,
4.95608744e-02, 3.41212016e-02, 1.36411126e-02,
9.04121414e-03, 2.16982690e-03, 2.57533376e-03,
6.74441900e-03, 4.99160875e-03, 7.05955473e-03,
6.62157066e-03, 3.24427059e-03, 4.81355199e-03,
1.95983988e-03, 3.00680988e-03, 5.26029454e-03,
2.31936424e-03, 1.14027824e-03, 4.09107370e-03,
9.13133807e-03, 2.81147000e-02, 9.30741340e-03,
9.09577549e-04, 7.53077261e-04, 1.36564288e-03,
1.58766010e-03, 3.37538242e-03, 9.05139802e-03,
1.30465072e-02, 1.22976442e-02, 5.72141172e-03,
2.61824066e-03, 2.77473727e-03, 3.12641022e-03,
3.75221853e-02, 3.37775458e-02, 7.78613837e-03,
8.33130518e-03, 1.59845939e-02, 1.67980537e-02,
1.36574640e-02, 1.02115201e-03, 3.34746296e-02,
3.22259190e-03, 4.81645302e-03, 1.75868272e-02,
4.33879726e-02, 5.46297063e-02, 1.14729977e-02,
3.24148726e-03, 0.00000000e+00, 1.62259476e-03,
4.40925666e-03, 1.03080289e-02, 4.02471014e-02,
7.95836008e-02, 3.21026971e-02, 5.08106355e-03,
3.02090546e-03, 1.83154407e-03, 1.53160727e-18,
9.34407943e-03, 7.60102933e-03, 1.82734041e-02,
4.49930781e-02, 3.19787913e-02, 2.08465459e-02,
1.03373840e-02, 5.71258669e-03, 1.33922699e-03,
8.55256892e-03, 1.14846089e-02, 3.69165384e-02,
4.39789324e-02, 3.02781990e-02, 1.21047414e-02,
8.02292031e-03, 1.92544364e-03, 2.28527908e-03,
1.76035133e-03, 4.85343099e-03, 1.12399077e-02,
1.25868642e-02, 9.38685749e-03, 4.18635105e-03,
4.85282866e-03, 3.55451240e-03, 2.22414751e-03,
2.40131158e-03, 1.18056633e-03, 4.23561873e-03,
9.45396476e-03, 2.91080432e-02, 9.63626115e-03,
9.41714569e-04, 7.79684842e-04, 1.41389351e-03,
1.64375501e-03, 3.49464079e-03, 9.37120028e-03,
1.35074639e-02, 1.27321422e-02, 5.92355954e-03,
2.71074784e-03, 2.87277376e-03, 3.23687194e-03,
1.40457298e-03, 8.99593551e-04, 7.62588282e-03,
1.34684775e-02, 2.54216120e-02, 1.86096110e-03,
7.03846332e-04, 1.61466047e-03, 3.69902136e-04,
3.33645190e-03, 4.98662701e-03, 1.82082016e-02,
4.49209482e-02, 5.65598726e-02, 1.18783594e-02,
3.35601486e-03, 0.00000000e+00, 1.67992396e-03,
4.56504367e-03, 1.06722302e-02, 4.16691043e-02,
8.23954334e-02, 3.32369435e-02, 5.26058671e-03,
3.12763952e-03, 1.89625584e-03, 1.58572172e-18,
3.91101883e-04, 1.09678620e-02, 3.11576218e-02,
8.56000033e-02, 3.28877306e-02, 1.79750340e-02,
8.84814967e-04, 2.52962957e-04, 1.15424434e-03,
8.85474665e-03, 1.18903809e-02, 3.82208665e-02,
4.55327876e-02, 3.13479825e-02, 1.25324239e-02,
8.30638460e-03, 1.99347305e-03, 2.36602212e-03,
1.82254772e-03, 5.02491148e-03, 1.16370339e-02,
1.30315809e-02, 9.71851214e-03, 4.33426240e-03,
5.02428788e-03, 3.68009975e-03, 2.30273066e-03,
1.94769160e-03, 2.32858271e-03, 9.17937665e-03,
2.98328989e-02, 3.58401781e-02, 1.56781620e-02,
7.16552727e-03, 1.09781728e-03, 2.24428520e-03,
1.89775397e-03, 4.03464531e-03, 1.08192720e-02,
1.55946860e-02, 1.46995589e-02, 6.83888937e-03,
3.12962239e-03, 3.31668514e-03, 3.73704510e-03,
1.62161267e-03, 1.03860200e-03, 8.80426179e-03,
1.55496754e-02, 2.93498514e-02, 2.14852354e-03,
8.12607211e-04, 1.86416364e-03, 4.27060751e-04,
4.84657013e-03, 1.50413908e-03, 7.25643510e-03,
2.85078745e-02, 1.60210819e-02, 4.59817556e-03,
2.63947815e-03, 4.60802212e-04, 1.03463157e-03,
5.27045072e-03, 1.23213418e-02, 4.81079649e-02,
9.51274736e-02, 3.83728361e-02, 6.07347159e-03,
3.61093368e-03, 2.18927214e-03, 1.83075317e-18,
4.51536360e-04, 1.26626556e-02, 3.59722102e-02,
9.88272252e-02, 3.79696616e-02, 2.07526012e-02,
1.02153977e-03, 2.92051708e-04, 1.33260234e-03,
1.92050535e-03, 2.23247174e-02, 2.67249460e-02,
2.39157657e-02, 1.80724196e-02, 7.79629904e-03,
6.16250677e-03, 4.65559139e-03, 3.28074477e-03,
2.10417438e-03, 5.80137896e-03, 1.34352305e-02,
1.50452679e-02, 1.12202518e-02, 5.00400829e-03,
5.80065900e-03, 4.24876206e-03, 2.65855693e-03,
2.24865595e-03, 2.68840373e-03, 1.05978071e-02,
3.44427862e-02, 4.13783319e-02, 1.81008083e-02,
8.27277045e-03, 1.26745598e-03, 2.59108026e-03,
7.38388826e-04, 1.13856145e-03, 9.09884318e-03,
3.68504788e-02, 3.19515204e-02, 2.63534476e-03,
1.89872227e-03, 6.80209027e-04, 2.98910598e-04]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 0.00337501, 0.0038908 , 0.03574201, ..., 0.00092693,
0.01126366, 0.06343084]), array([ 3.15868843e-02, 5.86536284e-03, 3.36624839e-02, ...,
4.57612692e-03, 4.57756636e-17, -1.06428418e-16]), array([ 0.00385122, 0.00432967, 0.00775764, ..., 0.00086161,
0.00021709, 0.00049941]), array([ 0.011524 , 0.02796046, 0.05111488, ..., 0.00238021,
0.00383298, 0.00954071]), array([ 0.02315484, 0.05619522, 0.0831222 , ..., 0.00152502,
0.00196837, 0.00498268]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,
6.01456498e-18, 0.00000000e+00, 0.00000000e+00]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 2.47301895e-02, 0.00000000e+00, 0.00000000e+00, ...,
2.10207273e-17, 1.68165818e-17, 0.00000000e+00]), array([ 2.28415738e-03, 3.11069199e-03, 9.69120593e-03,
6.21823490e-02, 3.06116400e-02, 5.71468930e-03,
0.00000000e+00, 2.44883606e-03, 4.00213343e-03,
7.91900433e-04, 5.67518439e-03, 6.99905611e-03,
1.51616639e-02, 1.81533198e-02, 1.78809230e-03,
3.10069103e-03, 3.09199858e-03, 2.26547450e-04,
2.77915277e-03, 1.93588007e-03, 2.14478798e-03,
6.01000390e-03, 6.97816680e-03, 2.21510312e-03,
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1.67260950e-03, 2.99755352e-04, 8.09506951e-04,
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9.02439839e-03, 4.86507344e-03, 3.97147854e-03,
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7.52329949e-03, 7.70403177e-03, 2.85135831e-03,
2.43832383e-03, 2.67502856e-03, 3.33053851e-03,
1.34214958e-02, 2.96811483e-02, 8.12940941e-03,
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5.83625890e-03, 3.99098143e-04, 3.94934274e-03,
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2.15755384e-02, 2.38825301e-02, 2.74034001e-03,
4.47157331e-03, 9.27394918e-04, 6.26538308e-03]), array([ 1.46869614e-02, 0.00000000e+00, 6.74961853e-03, ...,
5.97372865e-18, -5.79803075e-18, 1.05418741e-17]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 6.39907559e-02, 2.37185990e-03, 0.00000000e+00, ...,
-3.39158065e-16, -1.59881698e-16, -1.16368016e-16]), array([ 0.01775981, 0. , 0.02125695, ..., 0.00725893,
0.00505652, 0.11425592]), array([ 8.36622684e-02, 0.00000000e+00, 5.12932939e-02, ...,
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1.69042884e-02, -9.23119768e-18, -6.17032687e-17]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,
0.00000000e+00, 0.00000000e+00, -2.19427092e-15]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,
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4.13179682e-03, 8.73881700e-04, 1.39557418e-17]), array([ 0.01348336, 0.02011074, 0.01089088, ..., 0.00640271,
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3.34283460e-16, -4.79996763e-16, -5.82853213e-16]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,
-2.14284269e-18, 8.57137077e-18, -1.07142135e-18]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,
-9.42850785e-17, 5.54996258e-16, -2.28427031e-15]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 0.01736646, 0.02205019, 0.01496867, ..., 0.0007993 ,
0.00236273, 0.00058242]), array([ 0.02973898, 0.02933299, 0.01211934, ..., 0.00509325,
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0.01036899, 0.00677799
有没有办法将上面的数组数组转换为单列向量或列矩阵。